Senior Data Scientist
As part of the Strategy team, Senior Data Scientists are tasked with formulating the analytical frameworks and providing the technical rigor to drive pivotal business decisions. You’ll work closely with key stakeholders throughout the organization to identify the fundamental questions we need to ask and have ownership over generating data-driven means of addressing them.
Depending on your area of focus, challenges you may tackle in a typical day include:
- Developing a taxonomy of user behavior and segmenting customers based on product usage to better inform the evolution of the product roadmap
- Modeling drivers of customer retention using survival analysis utilizing the latest econometric/ML techniques; providing actionable recommendations for increasing retention based on insights generated
- Building stochastic customer lifetime value models leveraging user, product, and marketing data
- Using Bayesian structural time series models to understand the efficacy of targeted marketing interventions
- Building structured data models to effectively frame key business concepts and enable efficient analysis
- Understanding the drivers of success for small businesses on the platform to better provide them with the tools to be successful
- Analyzing consumer-willingness-to-pay for various products/features
- Driving the company’s internationalization & localization strategies by modeling the likelihood of product adoption across geographies
- Writing Python libraries to enable team-wide standardized, rigorous test design and Bayesian analysis of experimental outcomes
RESPONSIBILITIES
- Develop and evangelize analytical frameworks to guide key business decisions
- Surface insights from terabytes of proprietary user, product, and marketing data; communicate compelling recommendations to key stakeholders
- Formulate innovative hypotheses; design and implement rigorous methodologies for testing them
- Utilize cutting-edge statistical/machine learning techniques to build models furthering the org’s understanding of and ability to predict consumer behavior
- Share your expertise with the team - lead knowledge sharing sessions, partner with and provide mentorship for more junior members of the team, design learning curriculums
- Architect solutions that enable scalable efficiency gains for the entire team
- Continuously get better - seek out opportunities to further develop your analytical, engineering, statistical, leadership, etc. toolkit
- Collaborate with Data Engineers to design the systems and infrastructure to power our data needs
QUALIFICATIONS
- 5+ years of relevant analytical experience working with data
- Comfort working independently on loosely defined, open-ended problems
- Fluency in a scripting language (Python preferred)
- Solid competency in SQL
- Deep understanding of and experience with statistical and/or ML modeling techniques
- Ability to communicate effectively with audiences of varying levels of technical sophistication
- A plus: Experience with large scale data processing tools (Apache Spark or Hadoop) or implementing systems in production at scale
ABOUT SQUARESPACE
Squarespace makes beautiful products to help people with creative ideas succeed. By blending elegant design and sophisticated engineering, we empower millions of people — from individuals and local artists to entrepreneurs shaping the world’s most iconic businesses — to share their stories with the world. Squarespace’s team of more than 570 is headquartered in downtown New York City, with offices in Dublin and Portland. For more information, visit www.squarespace.com/about.
PERKS
- Health insurance with 100% premium covered
- Flexible vacation & paid time off
- Equity plan
- 401(k) plan with employer match
- Free lunch and snacks
- Dog-friendly workplace
Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customer base, but we also strive for the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.